NumCpp
2.14.0
A Templatized Header Only C++ Implementation of the Python NumPy Library
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applyPoly1d.hpp
Go to the documentation of this file.
1
28
#pragma once
29
30
#include "
NumCpp/Functions/applyFunction.hpp
"
31
#include "
NumCpp/NdArray.hpp
"
32
#include "
NumCpp/Polynomial/Poly1d.hpp
"
33
34
namespace
nc
35
{
36
//============================================================================
37
// Method Description:
43
template
<
typename
dtype>
44
void
applyPoly1d
(
NdArray<dtype>
&
inArray
,
const
polynomial::Poly1d<dtype>
&
inPoly
)
45
{
46
applyFunction<dtype>
(
inArray
,
inPoly
);
47
}
44
void
applyPoly1d
(
NdArray<dtype>
&
inArray
,
const
polynomial::Poly1d<dtype>
&
inPoly
) {
…
}
48
}
// namespace nc
NdArray.hpp
Poly1d.hpp
applyFunction.hpp
nc::NdArray
Holds 1D and 2D arrays, the main work horse of the NumCpp library.
Definition
NdArrayCore.hpp:139
nc::polynomial::Poly1d
Definition
Poly1d.hpp:58
nc
Definition
Cartesian.hpp:40
nc::applyPoly1d
void applyPoly1d(NdArray< dtype > &inArray, const polynomial::Poly1d< dtype > &inPoly)
Definition
applyPoly1d.hpp:44
nc::arange
NdArray< dtype > arange(dtype inStart, dtype inStop, dtype inStep=1)
Definition
arange.hpp:59
include
NumCpp
Functions
applyPoly1d.hpp
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